Essbase中MDX成员拼接问题:新手求助完善MDX查询
Hey there, let's work through your MDX query problem since you're new to Essbase and MDX. Your current code has a messy stack of nested CROSSJOIN functions, it's unfinished (your Scenario set cuts off mid-way), and it's hard to maintain—totally understandable when you're just starting out!
First, Let's Clean Up the Nested Crossjoins
The core task here is creating a Cartesian product (all possible combinations) of members across multiple dimensions, which is exactly what CROSSJOIN does. But nested CROSSJOIN calls get unreadable fast. Here's a cleaned-up, complete version of your query with proper indentation to keep things clear:
SELECT {([Version].[FINAL])} ON COLUMNS, CROSSJOIN( {[Period].[Jan], [Period].[Dec], [Period].[Sep]}, CROSSJOIN( {[Entity].[BE08008309], [Entity].[BTSEMEALA]}, CROSSJOIN( {[Years].[2018], [Years].[2017], [Years].[2014]}, CROSSJOIN( {[ICP].[ICP]}, CROSSJOIN( {[Currency].[USD]}, CROSSJOIN( {[Custom1].[TOPC1]}, CROSSJOIN( {[Custom2].[TOPC2]}, CROSSJOIN( {[Custom3].[TOPC3]}, {[Scenario].[Actual], [Scenario].[June Forecast]} -- Replace with your full Scenario members ) ) ) ) ) ) ) ) ON ROWS
Even Better: Use Essbase's Shorthand for Crossjoins
Essbase lets you use the * operator as a shorthand for CROSSJOIN, which makes your query way more concise and readable. This does the exact same Cartesian product as the nested version:
SELECT {([Version].[FINAL])} ON COLUMNS, {[Period].[Jan], [Period].[Dec], [Period].[Sep]} * {[Entity].[BE08008309], [Entity].[BTSEMEALA]} * {[Years].[2018], [Years].[2017], [Years].[2014]} * {[ICP].[ICP]} * {[Currency].[USD]} * {[Custom1].[TOPC1]} * {[Custom2].[TOPC2]} * {[Custom3].[TOPC3]} * {[Scenario].[Actual], [Scenario].[YourMissingMember]} ON ROWS
Key Tips for New MDX/Essbase Users
- Finish your member sets: Always close your braces and complete member references (your original query cut off at
[Scenario].[Jun...—Essbase will throw an error if you leave this incomplete). - Watch performance: A Cartesian product across many dimensions can create a huge number of rows. If your query runs slow, try filtering members down to only what you need (e.g., use
FILTERor pre-built member hierarchies). - Double-check member names: Essbase is often case-sensitive, so make sure your member references match exactly what's in your cube.
内容的提问来源于stack exchange,提问作者Bachatero

